About me
Information About me
I am a third-year Ph.D. candidate at IIT Hyderabad, working with Dr. Shruti Upadhyaya in the Department of Civil Engineering and the 
MEGHA Research Group. My work focuses on aerosol–cloud–meteorology–precipitation interactions, integrating Unsupervised Learning, Explainable AI, and High-Performance Computing to investigate rainfall and extreme weather. Previously, I worked at the North Eastern Space Applications Centre (NESAC), where I developed hydrological models for flood early warning systems. I am passionate about building interpretable, data-driven solutions that advance weather and climate science.
My Skills
Machine Learning
Satellite Remote Sensing
High Performance Computing
My Timeline
PhD in Civil Engineering
IIT HyderabadUntangling Aerosol-Cloud-Meteorology-Precipitation interactions using Machine Learning and Explainable AI.
Junior Research Fellow
NESAC | ISROFlood Early Warning Systems for North East India.
M.Tech in Civil Engineering
NIT AgartalaEnvironmental Engineering, Remote Sensing, IoT, Machine Learning.
B.Tech in Civil Engineering
KIIT UniversityCivil Engineering.
Awards | Grants | Features
Travel Grant
ARM 2026 Summer School: Big Open Data ScienceNational Weather Center, Oklahoma, USA
Travel Grant
ACM Second Asian School on High-Performance Computing and Artificial IntelligenceRIKEN Center for Computational Science, Kobe, Japan
Best Paper Award
AI in Natural Disaster Management, IEEE InGARSS 2024IEEE International Geoscience and Remote Sensing Symposium
Travel Grant
IEEE InGARSS 2024IEEE International Geoscience and Remote Sensing Symposium
Roles of Responsibility
Member
AGU Precipitation Technical Committee, Newsletter TeamContributing to the committee's newsletter and community outreach initiatives.
My Blogs
Here I share tutorials, research insights, and computational workflows. Explore my featured series or browse individual posts below.
Future Series & Articles
One-off tutorials, research updates, and personal insights.
More articles coming soon...
My Publications
Here are some of my research publications and papers.
Performance of GSMaP-ISRO Across Indian Climate Zones: Through a Novel Multi-Triplet Collocation approach
Enhancing soil moisture prediction with explainable AI: Integrating IoT and multi-sensor remote sensing data through soft computing
My Gallery
2026 ARM Big Open Data Science Summer School
What is the ARM Summer School about?
The ARM Summer School is a training program organized by the U.S. Department of Energy's Atmospheric Radiation Measurement (ARM) User Facility that equips students and early-career researchers with modern approaches to atmospheric science using observations, scientific computing, artificial intelligence, and open-science practices. This year's program was hosted at the National Weather Center (NWC), University of Oklahoma, in collaboration with the Cooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO).
What I learned
The program provided valuable insights into the observational infrastructure, computational workflows, and open-science practices that support atmospheric research. It was also a wonderful opportunity to exchange ideas with researchers from the ARM User Facility, Argonne National Laboratory, CIWRO, and the University of Oklahoma, while building new friendships with fellow participants who share a passion for atmospheric science, AI, and open science.
Dates: 18-22 May 2026
Location: National Weather Center, Oklahoma, USA | ARM Summer School 2026 Website | Hackathon Project
2026 ACM Second Asian School on High-Performance Computing and Artificial Intelligence
What is the ACM Asian School about?
The ACM Second Asian School on High-Performance Computing and Artificial Intelligence is a training program organized by the Association for Computing Machinery (ACM) that equips students and early-career researchers with modern approaches to scientific computing, high-performance computing (HPC), artificial intelligence, and large-scale numerical simulations. This year's program was hosted at the RIKEN Center for Computational Science (R-CCS), Kobe, Japan, where participants received hands-on training using the Fugaku supercomputer and the SCALE-RM cloud-resolving model.
What I learned
The program provided valuable insights into high-performance computing workflows, large-scale numerical simulations, and AI-driven scientific computing. It was also a wonderful opportunity to interact with researchers, instructors, and fellow participants from across Asia while exchanging ideas and building new friendships with people who share a passion for computational science, Earth system science, and artificial intelligence.
Dates: 30 January - 3 February 2026
Location: RIKEN Center for Computational Science, Kobe, Japan | 2026 ACM Asian School on HPC and AI Website
2025 International Association of Hydrological Sciences | 11th Scientific Assembly
Conference Highlights
The IAHS 2025 Scientific Assembly, held at IIT Roorkee, brought together researchers and practitioners from across the hydrological and atmospheric science communities to share recent scientific advances and foster collaboration. During the conference, I presented a poster titled "Disentangling the Effects of Aerosols on Precipitation under Varying Meteorological Conditions", where I had the opportunity to discuss my research with prominent scientists, receive valuable feedback, exchange ideas, and learn about the latest developments in hydrology, atmospheric science, and related fields.
Dates: 05 - 10 October 2025
Location: IIT Roorkee, India | IAHS Website
2024 IEEE India Geoscience and Remote Sensing Symposium (InGARSS)
Conference Highlights
The 2024 IEEE India Geoscience and Remote Sensing Symposium (InGARSS), conducted by IEEE GRSS and hosted by NIT Goa, brought together researchers and professionals working in geoscience, remote sensing, artificial intelligence, and geospatial technologies. During the conference, I presented my paper, "Predicting and Mapping Flood Susceptibility Leveraging Explainable AI and GIS Techniques", in the session on AI/ML Applications in Natural Disaster Management, where it received the Best Paper Award (1st Prize). The conference also provided an excellent opportunity to attend technical sessions, workshops, and networking events, while interacting with researchers, industry experts, and fellow participants and learning about the latest advances in remote sensing, AI, and geospatial technologies.
Dates: 02 - 05 December 2024
Location: NIT Goa, Goa, India | InGARSS Website
11th International Precipitation Working Group (IPWG) Workshop
Conference Highlights
The 11th International Precipitation Working Group (IPWG) Workshop, hosted by the Tokyo Institute of Technology, Japan, brought together researchers from around the world working on precipitation measurement, retrieval algorithms, satellite observations, and hydrometeorological applications. During the workshop, I presented my research through a poster, which provided an excellent opportunity to discuss my work with leading experts, receive valuable feedback, and exchange ideas with researchers from diverse backgrounds. Beyond the scientific sessions, the workshop offered an inspiring environment for learning, collaboration, and networking, further strengthening my interest in precipitation science and satellite remote sensing.
Dates: 15 - 18 July 2024
Location: Tokyo Institute of Science, Tokyo, Japan | IPWG Website
